#GEN -*-*-*-*-*-*-*-*-*-*-*- general info -*-*-*-*-*-*-*-*-*-*-*-

Method : TMlpANN
Creator: cafuser2
Date   : Sat Jan 27 15:19:08 2007
Host   : Linux patlx3.fnal.gov 2.4.21-37.ELsmp #1 SMP Wed Sep 28 12:13:44 CDT 2005 i686 i686 i386 GNU/Linux
Dir    : /fbsng/condor_local/execute/dir_11449/work/macros3
Training events: 206456


#OPT -*-*-*-*-*-*-*-*-*-*-*-*- options -*-*-*-*-*-*-*-*-*-*-*-*-

# Set by User:
V: False [verbose flag]
NCycles: 200 [Number of training cycles]
HiddenLayers: "N+1,N" [Specification of the hidden layers]
# Default:
D: False [use-decorrelated-variables flag (for backward compatibility, please switch to Preprocess)]
Preprocess: "None" [Variable Decorrelation Method]
PreprocessType: "Signal" [Use signal or background for Preprocess]
H: False [help flag]
##


#VAR -*-*-*-*-*-*-*-*-*-*-*-* variables *-*-*-*-*-*-*-*-*-*-*-*-

NVar 12
                        LepAEn                        LepAEn    'F'    [20.0051,579.323]
                        LepBEn                        LepBEn    'F'    [10.0126,391.825]
                       dilmass                       dilmass    'F'    [6.24246,827.315]
                        metmag                        metmag    'F'    [0.0479105,420.914]
                         addEt                         addEt    'F'    [33.7775,1120.43]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [1.56899e-05,3.13797]
                    ntightjets                    ntightjets    'F'    [0,7]
                       jet1_Et                       jet1_Et    'F'    [0,433.159]
                       jet2_Et                       jet2_Et    'F'    [0,150.618]
                       dildphi                       dildphi    'F'    [2.63256e-05,3.14158]
                          lepR                          lepR    'F'    [0.229375,4.26952]
                        metsig                        metsig    'F'    [0.00413108,16.3867]


#WGT -*-*-*-*-*-*-*-*-*-*-*-*- weights -*-*-*-*-*-*-*-*-*-*-*-*-

#input normalization
27.7175 75.2794
25.4546 59.1833
56.2859 109.216
18.9321 39.0684
41.7653 156.899
0.634101 1.47558
0.529398 0.202537
18.5746 6.18224
5.66445 1.01793
0.899194 2.2017
0.784062 2.33313
1.81088 2.99021
#output normalization
1 0
#neurons weights
-0.280383
0.334788
-0.0756493
-0.206511
-0.497455
0.40268
0.486196
0.0231065
0.226427
0.224936
0.0401044
0.258856
2.2603
-0.0814746
0.594711
-1.22331
-0.206944
-0.265152
0.35723
0.942027
-2.43172
0.69573
-1.11846
0.37761
0.0979492
-1.03122
-0.338261
-0.819635
-1.00189
-0.345347
0.396796
0.0795671
0.24608
-0.895509
0.0276546
0.114501
-0.575066
0.443421
#synapses weights
-0.0342422
0.52222
2.52958
0.326881
1.98913
-0.215524
-0.0457022
-0.492318
-0.0958549
-0.547883
1.55482
-0.466703
-0.643562
1.49543
2.24365
0.182773
-1.19905
0.77171
0.0335437
0.195587
-0.161747
-0.773602
1.04519
0.189075
-0.157006
0.416913
-3.51542
-0.607304
-4.94445
0.136256
-0.383945
1.50242
0.660358
1.76117
-1.68756
-0.689887
0.155334
-1.37058
-0.170834
-0.102508
-0.857333
-0.0450842
-0.316008
0.0600434
0.0281531
1.05729
-1.2306
-0.451421
0.188523
0.0106181
-1.93758
-0.84316
-0.698503
0.0259552
-0.243234
0.121338
0.0928612
0.210469
-0.531833
1.38267
-1.43347
0.599826
-0.88828
-1.64392
-2.92095
0.394804
0.306608
0.282752
0.152885
-0.559703
-0.280692
-0.759118
-0.191862
0.897868
0.236311
0.279474
-1.35712
-0.314647
-0.119385
-0.0389819
0.173952
1.16063
0.38916
0.596275
0.709764
-1.82652
0.383687
0.512597
1.52886
-0.555268
-0.57151
-0.0221943
0.0130198
0.789704
0.58477
-0.421939
0.691003
-2.96719
0.884321
0.492357
-0.782745
0.379311
-0.151182
-0.50457
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0.501142
-0.175491
-0.143952
0.680469
1.80634
-0.439032
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-1.23146
0.482395
0.546533
-0.424167
0.25422
0.497511
0.517512
-0.0556427
0.20776
-1.48046
-0.298549
-0.634853
-0.978667
0.00847263
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0.185477
0.189935
-1.80125
0.145655
1.28181
-0.197419
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0.107621
0.5574
0.495338
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0.12905
0.136111
0.369397
-0.513515
1.57995
0.682239
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0.778075
-0.593238
-0.581992
0.0708802
1.04311
0.289616
-1.1188
-1.69329
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2.78001
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1.14611
0.647559
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0.181999
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1.0797
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0.0137248
0.155319
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0.176757
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0.703627
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1.11897
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0.817174
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0.263907
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0.11867
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0.385458
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0.0224047
0.0829995
0.242785
0.137075
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0.649186
0.884125
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0.383488
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0.215609
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0.203156
0.709384
0.78193
0.440968
0.417887
0.0875784
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0.130245
0.160696
0.244507
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0.294538
0.351327
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0.00785495
0.674666
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0.611733
0.117802
-0.209102
0.32628
0.696656
0.528477
0.0276131
0.763734
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0.745685
-1.03979
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0.332471
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0.462086
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0.190029
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0.885579
0.160336
0.291828
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0.464874
0.224799
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0.28154
0.0180573
0.00873497
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0.382109
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0.180719
-0.879289
-0.261287
0.490779
0.0309564
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0.677091
-0.18756
-0.821957
-0.312035
-0.41861
0.484593
0.378596
0.213308
1.68088
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0.858504
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0.337283
0.170648
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